| A new, reliable, and simple-to-use method for the analysis of a population of values of a random variable using the Weibull probability distribution: application to acrylic bone cement fatigue results. | |
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MedLine Citation:
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PMID: 16179755 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In cases where the Weibull probability distribution is being investigated as a possible fit to experimentally obtained results of a random variable (V), there is, currently, no accurate and reliable but simple-to-use method available for simultaneously (a) establishing if the fit is of the two- or three-parameter variant of the distribution, and/or (b) estimating the minimum value of the variable (V(0)), in cases where the three-parameter variant is shown to be applicable. In the present work, the details of such a method -- which uses a simple nonlinear regression analysis -- are presented, together with results of its use when applied to 4 sets of number-of-cycles-to-fracture results from fatigue tests, performed in our laboratory, using specimens fabricated from 3 different acrylic bone cement formulations. The key result of the method is that the two- or three-parameter variant of the probability distribution is applicable if the estimate of V(0) obtained is less than or greater than zero, respectively. |
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Authors:
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Sied Janna; David P Dwiggins; Gladius Lewis |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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Title: Bio-medical materials and engineering Volume: 15 ISSN: 0959-2989 ISO Abbreviation: Biomed Mater Eng Publication Date: 2005 |
Date Detail:
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Created Date: 2005-09-23 Completed Date: 2006-01-23 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9104021 Medline TA: Biomed Mater Eng Country: Netherlands |
Other Details:
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Languages: eng Pagination: 349-55 Citation Subset: IM |
Affiliation:
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Department of Mechanical Engineering, The University of Memphis, TN 38152-3180, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Cementation / methods* Computer Simulation Data Interpretation, Statistical Materials Testing / methods* Models, Chemical* Models, Statistical* Polymethyl Methacrylate / analysis*, chemistry* Regression Analysis Statistical Distributions Tensile Strength |
| Chemical | |
Reg. No./Substance:
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9011-14-7/Polymethyl Methacrylate |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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